The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates Project »KIBi«: 3D Image Analysis and AI Improve Quality Control of Aggregates in Building Materials © Fraunhofer ITWM, iStockphoto

Kaiserslautern. The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates

In the »KIBi« project, we are working with our partners to develop an AI-supported process that automatically separates and characterizes aggregates in CT images, thereby simplifying and improving quality assurance and production control in the building materials industry. It is part of a special transfer program run by the Fraunhofer-Gesellschaft and the German Research Foundation (Deutsche Forschungsgemeinschaft DFG).

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Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Kaiserslautern. Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Tire abrasion is one of the largest sources of microplastics in Europe, polluting the air, soil, and water. With the SUMERA project, the Fraunhofer Institute for Industrial Mathematics ITWM, with support from the state of Rhineland-Palatinate, is developing a digital model that comprehensively simulates tire abrasion for the first time and makes emissions predictable.

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Trondheim. Designing Fairer Futures: How CHAIN Uses Data to Reduce Global Health Inequality

By Terje Andreas Eikemo, Sara Martino and Andrea Riebler Around the world, education and health shape each other in powerful ways. People with more years

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Trondheim. The Geometry of Data – Why Machine Learning Needs Signatures

By Kurusch Ebrahimi-Fard and Fabian Harang Introduction Think of scribbling a digit on a digital tablet. You might write the number ’3’ slowly, with hesitations,

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Trondheim. The 2nd Ethiopian Study Group with Industry 

By Dietmar Hömberg  (NTNU/WIAS), Zerihun Kinfe Birhanu (Hawassa University) and Anne Kværnø (NTNU) The 2nd Ethiopian Study Group with Industry took place at Addis Ababa University of

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Trondheim. Patterns from instability: How 1D soliton breaks dimensions to find 2D surfaces

By Wei Lian NTNU Norwegian University of Science and Technology In engineering, “instability” is often viewed as a failure—a bridge buckling in the wind or

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Trondheim. Learning Differential Equations via Chen–Fliess series

This article presents an accessible overview of how Chen–Fliess series can be combined with modern learning techniques to model and analyze nonlinear dynamical systems. The

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Trondheim. Affinization of Reduced Basis Methods

by Trond Kvamsdal NTNU Norwegian University of Science and Technology Background Reduced-basis methods (RBMs) offer an efficient framework for computing real-time approximations of parameterized PDEs.

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Trondheim. DidactiQC — Teaching Quantum Computing in Norway

By Kurusch Ebrahimi Fard, Yael Fleischmann, and Alexander Schmeding NTNU Norwegian University of Science and Technology Why the Mathematics of Quantum Computing Matters Quantum computing

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Trondheim. Geometry and Numerical Analysis of Control Systems

by Jacob Goodman NTNU Norwegian University of Science and Technology Modern engineering systems are expected to operate in environments that are complex, uncertain, and full

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